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Pardomuan Robinson Sihombing
BPS-Statistics Indonesia
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IMPLEMENTATION OF SEM-PLS MODELING ON THE IMPACT OF THE REGIONAL COMPETITIVENESS INDEX ON SOCIOECONOMIC MACRO VARIABLES Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.250

Abstract

The Regional Competitiveness Index (RCI) is one of the essential indicators to measure the ability of a region to compete with other regions in the economic, social, and environmental fields. Increasing regional competitiveness is one of the goals desired by every local government to encourage economic growth and community welfare. This study aims of the research to find out the relationship between the Regional Competitiveness Index (RCI) and socioeconomic macroeconomic variables such as the growth of Gross Regional Domestik Bruto (GRDP), Human Development Index (HDI), Foreign Investment, Domestic Investment, Regional Income and poverty rates in Indonesia in 2022 in Indonesia. The data used are publication data from the National Innovation Research Agency (BRIN) and the Statistic Indonesia (BPS) in 2022. The analysis model used is the PLS Structural Equation Model (SEM) model with SmartPLS software. The results showed that RCI significantly positively affected HDI, GRDP growth, Domestic Investment, Foreign Investment, and Regional Income. On the other hand, RCI significantly negatively affects the percentage of poor people. A comprehensive and targeted policy is needed so that the Regional Saiang Power Index continues to increase. In addition, supervision is needed related to programs that have been running related to regional competitiveness
Determinan Produk Domestik Bruto di Provinsi Bali Tahun 2014-2019 Desak Ari Gita Wahyuni; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.01.02

Abstract

This study aims to analyze the components of the Human Development Index on Gross Regional Domestic Product (GRDP) in Bali during the 2014-2019 period. The data used are time series and cross section obtained and processed from the Central Bureau of Statistics. Through a quantitative descriptive approach, this study uses multiple linear regression methods on panel data with the selected estimation model being the Fixed Effect Model. The results showed that the dependent variable of GRDP could be explained by independent variables by 92.03 percent and 7.97 percent of it was influenced by other variables outside this research model. Mean Years School and Life Expectancy variable have a positive effect on GRDP while the Labor Force Participation Rate variable has a negative and insignificant effect on GRDP. Government policies are needed to support equitable distribution of human development in each region
Pengaruh Pengangguran, Kemiskinan, Indeks Pembangunan Manusia, dan Populasi Terhadap Pertumbuhan Ekonomi di Provinsi Kalimantan Tengah Dhinnessa Prabowo; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.01.03

Abstract

The success or downturn of a country's economy can also be measured by its economic growth rate. This study aims to analyze the influence of unemployment rate, poverty, human development index, and population on economic growth, especially in 14 districts/cities of Central province. Kalimantan for the period 2017-2019. The technique used is a regression analysis of panel data with the best model being the fixed effects model (FEM). The test results show that all variables simultaneously affect economic growth. Partially, unemployment and HDI have negative and insignificant effects on economic growth. Second, poverty has a negative and significant impact while the population has a positive and significant impact on economic growth. Based on the findings of this study, it is recommended from the findings of this study that policies are needed to reduce poverty while increasing population so that economic growth can continue to increase.
Pengaruh Pajak Karbon, Penggunaan Bahan Bakar Fosil, Dan Pertumbuhan PDB Terhadap Emisi Karbon Pradita Galih Sekar Palupi; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnalku Vol 3 No 2 (2023)
Publisher : PT Wim Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/jurnalku.v3i2.385

Abstract

Penelitian ini menguji pengaruh pajak karbon, penggunaan bahan bakar fosil, dan pertumbuhan PDB terhadap emisi karbon. Sampel yang digunakan yaitu 12 negara Eropa dalam kurun waktu 2016 – 2020. Metode analisis yang digunakan dalam penelitian ini yaitu analisis regresi linear berganda menggunakan data panel. Hasil penelitian menunjukkan bahwa penggunaan gas alam dan minyak bumi menjadi variabel yang memengaruhi emisi karbon yang menyebabkan pemanasan global. Kenaikan 1% dari penggunaan gas alam akan meningkatkan emisi karbon sebesar 0,24% dan kenaikan 1% dari penggunaan minyak bumi juga akan meningkatkan emisi karbon sebesar 0,71%. Penelitian ini juga memberikan rekomendasi terhadap kebijakan fiskal yang dapat diterapkan di Indonesia terkait upaya pemerintah untuk mengurangi emisi karbon.
Analisis Pengaruh Indeks Pembangunan Manusia, Laju Pertumbuhan Penduduk, dan Tingkat Pengangguran Terbuka terhadap Kemiskinan di DKI Jakarta Rama Bhaskara Praja; Masruri Muchtar; Pardomuan Robinson Sihombing
Ecoplan Vol 6 No 1 (2023)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Lambung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ecoplan.v6i2.656

Abstract

The poverty rate has increased rapidly again due to the Covid-19 Pandemic. DKI Jakarta is one of the top 5 provinces with the lowest poverty rate in Indonesia, even though it has high complexity in administering its government. Because of these achievements, this study aims to find factors that influence poverty so that it can become a reference for other local governments in alleviating poverty. This research was conducted using panel data regression with a fixed effect model. The results showed that simultaneously poverty headcount index in the t-1 period, human development index (HDI), open unemployment rate, and population growth rate significantly affect the poverty headcount index. While partially, open unemployment and population growth rate positively and significantly affect the poverty headcount index. On the other hand, the poverty headcount index in the t-1 period and HDI positively and insignificantly affect the poverty headcount index. This research shows that local governments must focus more on policies to reduce unemployment and population growth rate in the context of alleviating poverty.
Determinants of Economic Growth in Bali Province Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono; I Dewa Gede Sunanjaya
Indonesia Auditing Research Journal Vol. 12 No. 1 (2023): Maret: Auditing, Finance, IT Plan, IT Governance, Risk
Publisher : Institute of Accounting Research and Novation (IARN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/arj.v12i1.117

Abstract

Economic growth is one of the goals of economic development. Sustainable economic growth has an impact on various other economic and social sectors. This research aims to see the effect of investment, regional income and human development index (HDI) on economic growth in Bali Province. Data from the BPS-Statistics Bali for 20 11-2021. The statistical method used multiple linear regression with panel data. Based on panel model testing, the fixed model is the best. Simultaneously, all variables affect the rate of economic growth. Partially, investment, regional income and human development index have a significant positive effect on the economic growth rate in Bali. Based on the results of this study, comprehensive policies related to macro-social economics are needed so that the level of economic growth continues to increase sustainably.
Analisis Faktor-Faktor Yang Mempengaruhi Penerimaan Pajak Bumi Dan Bangunan Sektor Perkebunan, Perhutanan, Dan Pertambangan Zain Yudha Prawira; Masruri Muchtar; Pardomuan Robinson Sihombing
Educoretax Vol 3 No 2 (2023)
Publisher : WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/educoretax.v3i2.415

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi penerimaan Pajak Bumi dan Bangunan sektor perkebunan, perhutanan dan pertambangan (PBB P3) di Jawa Tengah. Penelitian ini menggunakan data panel pada 20 kabupaten di Jawa Tengah periode 2019 sampai 2021. Variabel dependen dalam penelitian ini adalah penerimaan Pajak Bumi dan Bangunan sektor P3 (PBB P3), sementara investasi, luas hutan dan luas kebun menjadi variabel independen. Hasilnya menunjukan penerimaan PBB P3 di Jawa Tengah berfluktuasi setiap tahun. Diperoleh bahwa investasi, luas hutan dan luas kebun secara simultan berpengaruh signifikan terhadap PBB P3. Pengaruh luas hutan terhadap PBB P3 berpengaruh positif yang berarti bahwa apabila luas hutan mengalami kenaikan maka PBB P3 juga akan mengalami kenaikan. Sementara itu, investasi dan luas kebun tidak berpengaruh signifikan terhadap PBB P3 di Jawa Tengah. Implikasi dari penelitian ini yaitu bisa menjadi referensi bagi pemerintah dalam mengambil keputusan terkait kebijakan Pajak Bumi dan Bangunan sektor perkebunan, perhutanan dan pertambangan.
ALTERNATIVE MODELS IN OVERCOMING THE PROBLEM OF OVERDISPERSION IN POISSON REGRESSION Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal TAMBORA Vol. 7 No. 2 (2023): EDISI 19
Publisher : Wakil Rektor 3, Direktorat Riset, Publikasi dan Inovasi, Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jt.v7i2.2773

Abstract

This study aims to compare various alternative models in overcoming the problem of overdispersion in Poisson regression modeling. The comparative modeling is the Generalized Poisson model, Negative Binomial, and Generalized Negative Binomial. Modeling is applied to modeling the number of poor people in Central Java in 2021 with unemployment, HDI, and GRDP as independent variables. The results obtained by Generalized Poison are better than Negative Binomial and Generalized Negative Binomial because of the smaller AIC and BIC values ??and the larger R2. For simultaneous tests, it can be concluded that unemployment, HDI, and GRDP significantly affect the number of poor people. Only unemployment and HDI variables partially affect the number of poor people in Central Java. On the other hand, there is not enough evidence that GRDP affects some poor people. There is a need for comprehensive and relevant policies to overcome the number of poor people in an area.
Pengaruh Pendapatan Asli Daerah Dan Dana Alokasi Umum Terhadap Tingkat Kemiskinan Di Provinsi Jawa Timur Tahun 2017-2019 Faiza Aina Nurrizqi; Masruri Muchtar; Pardomuan Robinson Sihombing
Journal of Law, Administration, and Social Science Vol 3 No 2 (2023)
Publisher : PT WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/jolas.v3i2.444

Abstract

Menurut persebarannya, Papua dan Papua Barat merupakan provinsi dengan tingkat kemiskinan tertinggi di Indonesia namun berdasarkan jumlah penduduk miskin, Jawa Timur menjadi provinsi dengan jumlah penduduk miskin tertinggi. Dalam upaya pengentasan kemiskinan, pemerintah daerah memiliki dua instrumen anggaran yang penggunaannya menjadi kewenangan masing-masing yaitu pendapatan asli daerah (PAD) dan dana alokasi umum (DAU) sebagai komponen kapasitas fiskal daerah menurut PMK-116/PMK.07/2021. Didukung dengan fakta bahwa Jawa Timur merupakan provinsi penerima dana alokasi umum terbesar pada tahun 2019, penelitian ini bertujuan untuk menganalisis pengaruh pendapatan asli daerah dan dana alokasi umum terhadap tingkat kemiskinan kabupaten/kota di Provinsi Jawa Timur. Melalui model regresi data panel dengan data 36 kabupaten/kota di Provinsi Jawa Timur tahun 2017-2019, penelitian ini menemukan bahwa pendapatan asli daerah tidak berpengaruh signifikan terhadap tingkat kemiskinan kabupaten/kota di Provinsi Jawa Timur. Sementara itu, dana alokasi umum berpengaruh negatif terhadap tingkat kemiskinan. Hasil penelitian ini mengimplikasikan perlunya evaluasi bagi pemerintah daerah kabupaten/kota di Provinsi Jawa Timur untuk meningkatkan efisiensi alokasi pendapatan asli daerah agar lebih banyak ditujukan untuk pengentasan kemiskinan. Selain itu, hasil penelitian menunjukkan adanya kemungkinan perkembangan efisiensi pengalokasian dana alokasi umum seiring berjalannya waktu.
Comparison of Regression Analysis with Machine Learning Supervised Predictive Model Techniques Pardomuan Robinson Sihombing; Sigit Budiantono; Ade Marsinta Arsani; Triana Mauliasih Aritonang; Mohamad Arif Kurniawan
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 2 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.02.03

Abstract

The happiness index is a parameter used to measure the level of happiness and well-being of people in a particular country or region. This research aims to determine the factors that contribute to people's happiness. In terms of modelling, this study will compare several regressions modelling using machine learning, including regression trees, random forests and Support Vector Regression (SVR). The SVR model has a minor error value in terms of MSE, RMSE and MAE compared to the other three models. The same thing happened when viewed from the value of R2 that the SVR model has an enormous value. This result indicates that SVR modelling is the best of the four models. A comprehensive policy is needed to increase a country's happiness index.
Co-Authors Abdul Gofur Rochman Ade Famalika Ade Famalika Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Adina Astasia Ahid Nur Istinah Ahmaddien, Iskandar Aji, Lexi Jalu Al Aqilah, Muhamad Refkhi Amin Prawiro Madhani Anang Kurnia Anita, Tiurida Lily Arsani, Ade Marsinta Artha Satwika Astawa, I Gede Putu Banu Avior Ocean Noya Bagus Sartono Bekti Endar Susilowati Bekti Endar Susilowati Bekti Endar Susilowati Bertho Tantular Bungkus Sasongko Purnomo Bungkus Sasongko Purnomo Busminoloan Busminoloan Cahya Alkahfi Daqiqil Id, Ibnu Deden Achmad Sunarjo Desak Ari Gita Wahyuni Deva A. Nurul Huda Devitama Patria Nagara Dhinnessa Prabowo Drajat Indra Purnama DRAJAT INDRA PURNAMA Dwi Muslianti Dyah Purwanti Ekowati Retnaningsih Erfiani Erfiani Erfiani Erfiani, Erfiani Erica Indryani Fadlol Muhammad Fajar Faiza Aina Nurrizqi Feri Fernandes Fitri Mudia Sari Frisca Adriana Gregorius Ivan Aditya Purwahendra Gultom, Yulifar Amin Gunawan, Ghina Hanifa HAMIDAH Hastoro Dwinantoaji Hema Malini, Hema Hendiva Tri Nugraha Hendry Frananda, Hendry Herman, Nur Ashilah Raihanah I Dewa Gede Sunanjaya I Gede Heprin Prayasta I Gede Heprin Prayasta Ida Ayu Candrawati Ida Ayu Candrawati Iis Hayyun Nurul Islam Ine Ratna Dewi Irma Nurmala Dewi Istiqomatul Fajriyah Yuliati Istiqomatul Fajriyah Yuliati Jaka Wijaya Kusuma Januar Ramadhan Karel Fauzan Hakim Kartika Maulidya Irzain Khairil Anwar Notodiputro Krisdianto, Boby Febri Kuat Sidik Wahyono Kurnia, Anang Leni Merdawati Lina Sari Lisna Sari Lisna Sari Luh Putu Widya Adnyani Mahuda, Isnaini Marta Sundari Marta Sundari Maryani, Sri Masruri Mochtar Maydita Ayu Nursaskiawati Mella Anisa Miftahul Huda Miftakhul Jannah Mohamad Arif Kurniawan Mohamad Arif Kurniawan Muchtar, Masruri Muhammad Hafiz Fadhilah Muhammad Heru Akhmadi Muhammad Ramadhan Zulfi Muliantino, Mulyanti Roberto Mun'im, Akhmad Neni Nur Laili Ersela Zain Ng, Kah Choon Ni Kadek Sinarwati Novitha, Irni Nurhidayati Nurhidayati Nurhidayati Nurhidayati Nuryanto Nuryanto Oki Prasetia Hendarsin Padhilah Dikri Pascal, Emilio Pradita Galih Sekar Palupi Puput Puspito Rini Putri Indi Rahayu Putu Pande Wahyu Diatmika Rahayu, Putri Indi Rahmi Lathifah Islami Rama Bhaskara Praja Ramadhisa Fadli, Diva Aisyaliani Rini Rahani Risqi Nurika Fatha Hidayati Saeful Hidayat Sarah Sholikhatun Risma Septie Wulandary Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Sinarta Putra P. Surbakti Sodiqin, Achmad Sri Murdaningrum Stephanus, Matthew Supriatna, Yayat Suryadiningrat Suryadiningrat Suryadiningrat Taufik Febriyanto Temy Setiawan, Temy Triana Mauliasih Aritonang Triana Mauliasih Aritonang Ulfa Anggraini Usep Nugraha Wahyu Puji Lestari Widdia Angraini Wijaya, Lianna Wiradinata Lambok Silaban Wiranegara, Hanny Wahidin Wisnu Pratiko Y Yunita Yanti, Ni Komang Semara Yesi, Desri Yoshep Paulus Apri Caraka Yuda Yudhie Andriyana Yuninda Anggraini Putri Yunita Yunita Yunita Zain Yudha Prawira Zakir, Supratman